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Performance based clustering for benchmarking of US airports

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  • Sarkis, Joseph
  • Talluri, Srinivas
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    Abstract

    Managing service operations is gaining significant attention in both academic and practitioner circles. In this broad area, performance evaluation and process improvement of airlines and air carriers has been the focus of several studies. Although efficient airport operations are critical for improved performance of airlines and air carriers, few studies have focused on airport performance measurement. This study evaluates the operational efficiencies of 44 major US airports across 5 years using multi-criteria non-parametric models. These efficiency scores are treated by a clustering method in identifying benchmarks for improving poorly performing airports. Efficiency measures are based on four resource input measures including airport operational costs, number of airport employees, gates and runways, and five output measures including operational revenue, passenger flow, commercial and general aviation movement, and total cargo transportation. The methodology presented here can be generalized to other industries and institutions.

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

    Volume (Year): 38 (2004)
    Issue (Month): 5 (June)
    Pages: 329-346

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    Handle: RePEc:eee:transa:v:38:y:2004:i:5:p:329-346

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    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Schefczyk, Michael, 1993. "Industrial benchmarking: A case study of performance analysis techniques," International Journal of Production Economics, Elsevier, vol. 32(1), pages 1-11, August.
    3. Gillen, David & Lall, Ashish, 1997. "Developing measures of airport productivity and performance: an application of data envelopment analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 33(4), pages 261-273, December.
    4. Hooper, P.G & Hensher, D.A, 1997. "Measuring total factor productivity of airports-- an index number approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 33(4), pages 249-259, December.
    5. Pels, Eric & Nijkamp, Peter & Rietveld, Piet, 2001. "Relative efficiency of European airports," Transport Policy, Elsevier, vol. 8(3), pages 183-192, July.
    6. Post, Thierry & Spronk, Jaap, 1999. "Performance benchmarking using interactive data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 115(3), pages 472-487, June.
    7. Adler, Nicole & Berechman, Joseph, 2001. "Measuring airport quality from the airlines' viewpoint: an application of data envelopment analysis," Transport Policy, Elsevier, vol. 8(3), pages 171-181, July.
    8. Fernandes, Elton & Pacheco, R. R., 2002. "Efficient use of airport capacity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(3), pages 225-238, March.
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